similar to: Please Help - WINS server problems

Hello, We are succesfully using Samba with a remote WINS server which is located on another site. We have a second site which has successfully been using the same WINS server and communicating with our Samba server. Recently the PCs on the second site have been unable to connect to our Samba server. The other site uses a different DHCP server to our site but it still gives out the same

Hello, We have three Samba servers running at our site. They are 1) Solaris 2.6 & Samba 2.0.4b 2) Solaris 7 & Samba 2.0.4n and 3) Mandrake linux 6.2 & Samba 2.0.3 We have experienced this problem on all of the above servers. After a period of time (just over a month in the case of the linux box) the servers are no longer registered with the WINS server. We have to restart nmbd to

Hello All, We have 2 Samba servers in our domain at our site. Server A) is a Primary Domain Controller that everyone logs into and Server B) just has drives shared on it. We have another site with a Server C) running MARS NWE we are connected to via a 256k WAN link. If we were to run Samba on this Server C) and set it up like Server B) i.e. Have all 3 servers in the same domain all with one

Hello all, I get the following and am not sure what is going on. Its on a solaris10 box. And my share is named 'hold' Thanks, Abhimanyu. # /opt/samba/bin/smbstatus Processing section "[hold]" Error loading module '/opt/samba/lib/charset/ISO8859-1.so': ld.so.1: smbstatus: fatal: /opt/samba/lib/charset/ISO8859-1.so: open failed: No such file

Hello everyone, I need to fit a bivariate normal regression model to a dataset where the same covariate (say, X) influences two separate but correlated responses (say, Y1 and Y2). So, the bivariate model would look like : Y1 = a1 + b1*X + e1 Y2 = a2 + b2*X + e2 where e1 and e2 are error terms which can be correlated. Is there any package in R which can help me fit this model ? Any help will be

I have just upgraded my Samba server from 2.0.4b to 2.2.2 on a Sun E450 running Solaris 2.6. When the guest account value is set to nobody the browsing does not work. I cannot see any thing under the Network Neighbourhood. When the guest account is set to root browsing works ok. Could someone tell me exactly what permissions the guest account needs to have? What files does it need access to? What

Hello I get the following errors: ./pdbedit Error loading module '/opt/samba/lib/charset/ISO8859-1.so': ld.so.1: pdbedit: fatal: /opt/samba/lib/charset/ISO8859-1.so: open failed: No such file or directory Any suggestions would be helpful. Abhimanyu Pandey Information Technologies Worcester State College Worcester, MA 01602 Office: 508-929-8913

I wrote some code to do this. It only works with 2 groups (that's all I needed), but could probably be generalized. It got my graph made, and I haven't needed a graph like this one again, so I never went back to really clean it up. It works by first plotting both sets of rectangles, then going back over the ones that had the first bar totally covered by the second. Hope this helps,

Hello. I have to fit a mixed model from a repeated measures split-plot experiment in which the response variable is binary. This requires a generalised linear mixed model in which I can specify a binomial distribution. I can’t find the appropriate package in R. I have looked at glmmML, but it doesn’t seem to allow any mixed structure beyond a simple 2-level one. Can anyone point me to the

Hello. I want to plot the distribution of a continuous variable (y) in each of two groups on the same graph as histograms. I suppose one could call this a 2-d histogram? Can this be done in R? Here is a typical data.set: y group 1.2 1 3.3 1 2.4 2 5.7 1 0.2 2 etc. Bill Shipley Subject Matter Editor, Ecology North American Editor, Annals of

Hello. I cannot find out how to extract the residuals from a mixed model using the lmer function. Can someone help? Bill Shipley North American Editor, Annals of Botany Editor, "Population and Community Biology" series, Springer Publishing Département de biologie, Université de Sherbrooke, Sherbrooke (Québec) J1K 2R1 CANADA Bill.Shipley@USherbrooke.ca

To avoid angry replies, let me first say that I know that the use of Type III sums of squares is controversial, and that some statisticians recommend instead that significance be judged using the non-marginal terms in the ANOVA. However, given that type III SS is also demanded by some… is there a function (equivalent to drop1 for lm) to obtain type III sums of squares for mixed models using the

Hello. I am having trouble downloading the lme4 package from the CRAN site. The error is: > local({a <- CRAN.packages() + install.packages(select.list(a[,1],,TRUE), .libPaths()[1], available=a, dependencies=TRUE)}) trying URL `http://cran.r-project.org/bin/windows/contrib/2.0/PACKAGES' Content type `text/plain; charset=iso-8859-1' length 26129 bytes opened URL downloaded 25Kb

Hello. Please excuse this off-topic request, but I know that the question has been debated in summary form on this list a number of times. I would find a paper that lays out the advantages and disadvantages of using different types of SS in the context of unbalanced data in ANOVA, regression and ANCOVA, especially including the use of different types of contrasts and the meaning of the

Hello. I am about to do a rather complicated analysis and am not sure how to do it. The experiment has a split-plot design and also repeated measures. Both of these complications require one to define an error term and it seems that one cannot specify two such terms. The split-plot command is: aov(y~covariates +A*B+Error(C), data=) where A and B are the fixed effects and C is the

Hello. Following pages 342-347 of Pinheiro & Bates, I am trying to write a self-starting nonlinear function (a non-rectagular hyperbola) to be used in nonlinear least squares regression (and eventually for a mixed model). When I use the getInitial function for my self-starting function I get the following error message: > getInitial(photo~NRhyperbola(Irr,theta,Am,alpha,Rd),dat) Error

Hello. Slope estimates in lme are shrinkage estimates which pull the OLS slope estimates towards the population estimates, the degree of which depends on the group sample size and the distance between the group-based estimate and the overall population estimate. Although these shrinkage estimates as said to be more precise with respect to the true values, they are also biased. So there is a

Hello. I am trying to fit a non-rectangular hyperbola function to data of photosynthetic rate vs. light intensity. There are 4 parameters that have to be estimated. I find the nls function very difficult to use because it often fails to converge and then gives out cryptic error messages. I have tried playing with the control parameters but this does not always help. Is there another

Hello. I want to specify a diagonal structure for the covariance matrix of random effects in the lme() function. Here is the call before I specify a diagonal structure: > fit2<-lme(Ln.rgr~I(Ln.nar-log(0.0011)),data=meta.analysis, + random=~1+I(Ln.nar-log(0.0011)|STUDY.CODE,na.action=na.omit) and this works fine. Now, I want to fix the covariance between the between-groups slopes

Hello. I am using the nonlinear least squares function (nls). The function that I am trying to fit seems to be very sensitive to the starting values and, if these are not chosen properly, the nls function stops and gives an error message: Error in numericDeriv(form[[3]], names(ind), env) : Missing value or an Infinity produced when evaluating the model In addition: Warning